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Chatbot replies that look like real content, not walls of plain text

SleekAI adds an AI chatbot for Chatbot With Markdown Output to your WordPress site. It answers from the content you choose, such as posts, pages, custom post types, post meta, taxonomies and user data, with your own OpenAI, Anthropic, Google, or OpenRouter key.

Why plain-text replies hide good answers

Most chatbot widgets dump the model’s response as a single block of plain text. Lists collapse into commas. Code samples lose their indentation. URLs are rendered as raw strings, not clickable links. The result is that even a technically perfect answer feels unprofessional and hard to scan.

SleekAI parses the model’s output as markdown on the way to the widget. Lists become bulleted lists. Headings become headings. Inline code spans get monospaced backgrounds. Tables become tables. The visitor sees a properly formatted reply, not a transcript. The model is also better at writing structured answers when it knows the output will render, so the prompt can ask for steps, comparisons, and tables and trust they’ll display.

Features

Real headings and lists

The reply looks like editorial content, which makes complex answers actually readable.

Safe by default

The parser uses an allowlist of safe HTML elements and strips scripts, iframes, and event handlers. Even if the model is jailbroken into emitting malicious markup, the renderer ignores it. You get rich formatting without opening a cross-site scripting hole.

Answers from your data

Map post titles, content, post meta, taxonomies or a WP_Query into the instruction, and the bot answers from what your site actually publishes.

Where rich formatting changes the experience

Step-by-step tutorials

Tutorial answers come back as numbered lists with proper headings between sections. Users scan instead of read. Completion rates on multi-step guides jump because each step is visually distinct.

Comparison and pricing tables

When a visitor asks ‘which plan is right for me’, the bot replies with an actual table comparing features and prices. Markdown tables render cleanly in the widget and convey the answer in seconds instead of a paragraph.

Developer docs chat

Developers can copy directly from the chat into their terminal. No mental reformatting, no broken examples.

How markdown turns chat into readable content

1

Map your data

Choose the posts, fields, taxonomies or users the bot should know and reference them in the instruction.

2

Streaming parser renders tokens

Lists grow, code blocks fill in, and tables form before the response is even complete.

3

Sanitizer strips unsafe content

The HTML passes through an allowlist sanitizer that removes scripts, iframes, event handlers, and dangerous URL schemes.

4

Set display conditions

Decide which pages, post types, roles or logged-in states show the chatbot.

Why formatting is a feature, not a polish task

A chatbot answer is content, and content has structure. Steps belong in a numbered list. Code belongs in a code block. Choices belong in a table. The reply is scannable. Code is copy-paste ready. Comparisons are visual. Links work.

Users finish reading faster, act on the answer more often, and trust the bot more because it looks like the rest of the site. There’s also a measurable effect on prompt design. When markdown renders, the system prompt can ask for structured output without worrying about the experience downstream.

‘Reply with a comparison table when comparing two things’ becomes a real instruction the model can follow. Before rich rendering, that instruction was abandoned in favor of vague prose because the alternative looked terrible. Safety matters too.

The renderer ships with an allowlist sanitizer because a chatbot is a place where untrusted text crosses into rendered HTML. Without sanitization, a jailbroken model could inject scripts. With it, the worst case is a rendering artifact.

Frequently asked questions

Which markdown features does the renderer support?

Headings, paragraphs, bold, italic, inline code, fenced code blocks with language hints, bullet and numbered lists (with nesting), tables, blockquotes, links, horizontal rules, and line breaks. GitHub-flavored markdown features like task lists and strikethrough are supported.

How does it handle untrusted model output?

The renderer parses markdown first, then sanitizes the resulting HTML with an allowlist of elements and attributes. Scripts, iframes, event handlers, javascript: URLs, and data: URLs are stripped.

Does it stream as the model types?

Yes. The markdown parser runs incrementally on the streamed tokens, so visitors see paragraphs forming, lists expanding, and code blocks filling in real time. The parser handles incomplete markdown gracefully, redrawing the layout as more tokens arrive without flickering or misaligning the chat scroll position.

What about emojis and special characters?

Emojis pass through as-is and render via the browser’s emoji font. Unicode characters in user replies and bot replies are preserved. The renderer doesn’t normalize quotes to curly quotes, so straight quotes stay straight, which matters for code samples and policy text where character fidelity is important.

Which AI providers does it support?

OpenAI, Anthropic, Google and OpenRouter, plus custom OpenAI-compatible endpoints. You bring your own API key and the provider bills you directly.

Where does the chatbot get its answers?

From the WordPress data you map into its instruction: post titles and content, post meta, ACF and Meta Box fields, taxonomies, terms, users and user meta, or a WP_Query. Values resolve on every request.

Can it act on a visitor’s behalf?

No. A chatbot answers questions. It does not submit forms, create bookings, open tickets or send email; put the links for those steps in its instruction so it can point visitors to them.

Can I control where the chatbot appears?

Yes. Display conditions cover post type, post, post status, post template, taxonomy, term, user role, logged-in state and WordPress conditional tags such as front page, archive, search and 404.

Pricing

Explore our flexible licensing options tailored to your needs. Upgrade your license anytime to access more features, or opt for a lifetime license for ongoing value, including lifetime updates and lifetime support. Our hassle-free upgrade process ensures that our platform can grow with you, starting from whichever plan you choose.

Starter

€79per year
  • 3 websites
  • 1 year of updates
  • 1 year of support

Pro

€149per year
  • Unlimited websites
  • 1 year of updates
  • 1 year of support

Lifetime

Popular
€249once
  • Unlimited websites
  • Lifetime updates
  • Lifetime support

…or get the Bundle Deal
and save €250

The Bundle (unlimited sites)

Pay once, own it forever

Elevate your WordPress site with our exclusive plugin bundle that includes all of our premium plugins in one package. Enjoy lifetime updates and lifetime support. Save significantly compared to buying plugins individually.

What’s included

SleekAI

SleekByte

SleekMotion

SleekPixel

SleekView

SleekRank

SleekTrack

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